{"id":"W4406853484","doi":"10.3758/s13428-024-02553-7","title":"EmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network science","year":2025,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Artificial intelligence; Emotional intelligence; Natural language processing; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000555963,0.0007910922,0.0002755958,0.003006137,0.0004027689,0.001256029,0.0004856838,0.0003927658,0.009389423],"category_scores_gemma":[0.005587982,0.0002301507,0.0002842503,0.001489174,0.0002224208,0.002119742,0.0008371996,0.0005976075,0.003891472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003315861,"about_ca_system_score_gemma":0.0003765636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106426,"about_ca_topic_score_gemma":0.00270747,"domain_scores_codex":[0.9996352,0.0001315839,0.00003748696,0.00008497663,0.00009335269,0.00001731751],"domain_scores_gemma":[0.9978772,0.001434243,0.0002157224,0.0001399595,0.0002620385,0.00007087104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001079231,0.0005356174,0.01656892,0.002359377,0.0003577641,0.0007217569,0.003269101,0.01206604,0.08012586,0.04385775,0.1376643,0.7013943],"study_design_scores_gemma":[0.0001448621,0.0002684009,0.03117833,0.0002889638,0.0003065161,0.0008462794,0.001750583,0.5866708,0.05286912,0.08984209,0.2356779,0.0001562319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1053564,0.0006002088,0.7305434,0.0006651973,0.0002596773,0.0006452197,0.03810081,0.09850231,0.02532693],"genre_scores_gemma":[0.4383181,0.000701735,0.4898959,0.0004344703,0.0002241396,0.001599058,0.03925511,0.006681962,0.02288952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009389423,"threshold_uncertainty_score":0.03141075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3072778748270339,"score_gpt":0.593795430617827,"score_spread":0.2865175557907931,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}